The Experts below are selected from a list of 10392 Experts worldwide ranked by ideXlab platform

Mei Leng - One of the best experts on this subject based on the ideXlab platform.

  • Infection Spreading and Source Identification: A Hide and Seek Game
    IEEE Transactions on Signal Processing, 2016
    Co-Authors: Wuqiong Luo, Wee Peng Tay, Mei Leng
    Abstract:

    The goal of an infection source node (e.g., a rumor or computer virus source) in a Network is to spread its infection to as many nodes as possible, while remaining hidden from the Network Administrator. On the other hand, the Network Administrator aims to identify the source node based on knowledge of which nodes have been infected. We model the infection spreading and source identification problem as a strategic game, where the infection source and the Network Administrator are the two players. As the Jordan center estimator is a minimax source estimator that has been shown to be robust in recent works, we assume that the Network Administrator utilizes a source estimation strategy that can probe any nodes within a given radius of the Jordan center. Given any estimation strategy, we design a best-response infection strategy for the source. Given any infection strategy, we design a best-response estimation strategy for the Network Administrator. We derive conditions under which a Nash equilibrium of the strategic game exists. Simulations in both synthetic and real-world Networks demonstrate that our proposed infection strategy infects more nodes while maintaining the same safety margin between the true source node and the Jordan center source estimator.

  • ASONAM - Rumor Spreading Maximization and Source Identification in a Social Network
    Proceedings of the 2015 IEEE ACM International Conference on Advances in Social Networks Analysis and Mining 2015, 2015
    Co-Authors: Wuqiong Luo, Wee Peng Tay, Mei Leng
    Abstract:

    The goal of a rumor source node in a social Network is to spread its rumor to as many nodes as possible, while remaining hidden from the Network Administrator. On the other hand, the Network Administrator aims to identify the source node based on knowledge of which nodes have accepted the rumor (which are called infected nodes). We model the rumor spreading and source identification problem as a strategic game, where the rumor source and the Network Administrator are the two players. As the Jordan center estimator is a minimax source estimator that has been shown to be robust in recent works, we assume that the Network Administrator utilizes a source estimation strategy that probes every node within a given radius of the Jordan center. Given any estimation strategy, we design a best-response infection strategy for the rumor source. Given any infection strategy, we design a best-response estimation strategy for the Network Administrator. We derive conditions under which the Nash equilibria of the strategic game exist. Simulations in both synthetic and real-world Networks demonstrate that our proposed infection strategy infects more nodes while maintaining the same safety margin between the true source node and the Jordan center source estimator.

  • Rumor Spreading and Source Identification: A Hide and Seek Game.
    arXiv: Social and Information Networks, 2015
    Co-Authors: Wuqiong Luo, Wee Peng Tay, Mei Leng
    Abstract:

    The goal of a rumor source node in a social Network is to spread its rumor to as many nodes as possible, while remaining hidden from the Network Administrator. On the other hand, the Network Administrator aims to identify the source node based on knowledge of which nodes have accepted the rumor (which are called infected nodes). We model the rumor spreading and source identification problem as a strategic game, where the rumor source and the Network Administrator are the two players. As the Jordan center estimator is a minimax source estimator that has been shown to be robust in recent works, we assume that the Network Administrator utilizes a source estimation strategy that probes every node within a given radius of the Jordan center. Given any estimation strategy, we design a best-response infection strategy for the rumor source. Given any infection strategy, we design a best-response estimation strategy for the Network Administrator. We derive conditions under which the Nash equilibria of the strategic game exist. Simulations in both synthetic and real-world Networks demonstrate that our proposed infection strategy infects more nodes while maintaining the same safety margin between the true source node and the Jordan center source estimator.

Satoshi Togawa - One of the best experts on this subject based on the ideXlab platform.

  • HCI (8) - Peer-to-peer file sharing communication detection system using Network traffic mining
    Human Interface and the Management of Information. Methods Techniques and Tools in Information Design, 2007
    Co-Authors: Satoshi Togawa, Kazuhide Kanenishi, Yoneo Yano
    Abstract:

    In this research, we have built a system for Network Administrators that visualize the Peer-to-Peer (P2P) file sharing activities of Network users. This system monitors Network traffic and discerns traffic features using traffic mining. This system visualizes the P2P file sharing traffic activities of an organization by making the processing object not an individual user but a user group. The Network Administrator can comprehend the P2P sharing activities of the organization by referring to the map. This system extracts a traffic feature from captured IP packets that the users communicated. Afterwards this system creates a traffic model. The features of the traffic model are emphasized by weighting. After that, the traffic model is visualized by a Self-Organizing Map. The Network Administrator is assisted in understanding users' P2P file sharing communication behavior by this feature map. The Administrator can then respond to the situation. As a result, we think we can assist the monitoring operation and Network administration.

  • SMC - Peer-to-Peer File Sharing Communication Detection System using the Traffic Feature Extraction
    2006 IEEE International Conference on Systems Man and Cybernetics, 2006
    Co-Authors: Satoshi Togawa, Kazuhide Kanenishi, Yoneo Yano
    Abstract:

    In this research, we have built a system that visualizes the Peer-to-Peer (P2P) file sharing activities of Network users for the assistance of the Network Administrator. This system visualizes the P2P file sharing traffic activities of an organization by making the processing object not an individual user but a user group. The Network Administrator can comprehend the P2P sharing activities of the organization by referring to the map. This system extracts a traffic feature from captured IP packets that the users communicated. Afterwords this system creates a traffic model. The features of the traffic model are emphasized by weighting. After that, the traffic model is visualized by Kohonen's self-organizing map. The Network Administrator is assisted in understanding users' P2P file sharing behavior by this feature map. As a result, we think we can assist the monitoring operation by the Network Administrator.

  • AINA (2) - Web browsing activity visualization system for Administrator assistance using users' Web browsing behavior
    18th International Conference on Advanced Information Networking and Applications 2004. AINA 2004., 1
    Co-Authors: Satoshi Togawa, Kazuhide Kanenishi
    Abstract:

    In this research, we built a system that visualizes the Web browsing activities of Network users for the assistance of the Network Administrator. This system visualizes the Web browsing activities of an organization by making the processing object not an individual user but a user group. The Network Administrator can comprehend the Web browsing activities of the organization by referring to the map. This system extracts a keyword from HTML files that the users browsed. Afterwards this system develops concepts from the extracted keyword using a thesaurus. In addition, this system creates a browsing model. The features of the browsing model are emphasized by weighting. After that, the browsing model is visualized by Kohonen's self-organizing maps. The Network Administrator is assisted in grasping user Web browsing behavior by this feature map. As a result, we think that we can assist the monitoring operation by the Network Administrator.

  • AMT - Administrator assistance system based on users behavior using Web-browsing-activity visualization
    Proceedings of the 2005 International Conference on Active Media Technology 2005. (AMT 2005)., 1
    Co-Authors: Satoshi Togawa, Kazuhide Kanenishi, Yoneo Yano
    Abstract:

    In this research, we have built a system that visualizes Web browsing activities. This system provided a feature map for the assistance of the Network Administrator. This system visualizes the Web browsing behavior of an organization by making the processing object not an individual user but a user group. The Network Administrator is assisted in grasping users' Web browsing behavior by a feature map. In addition, we described the method of discovery for abnormal status using the moving-average method. As a result, we think that we can assist the monitoring operation of the Network Administrator.

Yoneo Yano - One of the best experts on this subject based on the ideXlab platform.

  • HCI (8) - Peer-to-peer file sharing communication detection system using Network traffic mining
    Human Interface and the Management of Information. Methods Techniques and Tools in Information Design, 2007
    Co-Authors: Satoshi Togawa, Kazuhide Kanenishi, Yoneo Yano
    Abstract:

    In this research, we have built a system for Network Administrators that visualize the Peer-to-Peer (P2P) file sharing activities of Network users. This system monitors Network traffic and discerns traffic features using traffic mining. This system visualizes the P2P file sharing traffic activities of an organization by making the processing object not an individual user but a user group. The Network Administrator can comprehend the P2P sharing activities of the organization by referring to the map. This system extracts a traffic feature from captured IP packets that the users communicated. Afterwards this system creates a traffic model. The features of the traffic model are emphasized by weighting. After that, the traffic model is visualized by a Self-Organizing Map. The Network Administrator is assisted in understanding users' P2P file sharing communication behavior by this feature map. The Administrator can then respond to the situation. As a result, we think we can assist the monitoring operation and Network administration.

  • SMC - Peer-to-Peer File Sharing Communication Detection System using the Traffic Feature Extraction
    2006 IEEE International Conference on Systems Man and Cybernetics, 2006
    Co-Authors: Satoshi Togawa, Kazuhide Kanenishi, Yoneo Yano
    Abstract:

    In this research, we have built a system that visualizes the Peer-to-Peer (P2P) file sharing activities of Network users for the assistance of the Network Administrator. This system visualizes the P2P file sharing traffic activities of an organization by making the processing object not an individual user but a user group. The Network Administrator can comprehend the P2P sharing activities of the organization by referring to the map. This system extracts a traffic feature from captured IP packets that the users communicated. Afterwords this system creates a traffic model. The features of the traffic model are emphasized by weighting. After that, the traffic model is visualized by Kohonen's self-organizing map. The Network Administrator is assisted in understanding users' P2P file sharing behavior by this feature map. As a result, we think we can assist the monitoring operation by the Network Administrator.

  • AMT - Administrator assistance system based on users behavior using Web-browsing-activity visualization
    Proceedings of the 2005 International Conference on Active Media Technology 2005. (AMT 2005)., 1
    Co-Authors: Satoshi Togawa, Kazuhide Kanenishi, Yoneo Yano
    Abstract:

    In this research, we have built a system that visualizes Web browsing activities. This system provided a feature map for the assistance of the Network Administrator. This system visualizes the Web browsing behavior of an organization by making the processing object not an individual user but a user group. The Network Administrator is assisted in grasping users' Web browsing behavior by a feature map. In addition, we described the method of discovery for abnormal status using the moving-average method. As a result, we think that we can assist the monitoring operation of the Network Administrator.

David A. Westcott - One of the best experts on this subject based on the ideXlab platform.

  • CWNA Certified Wireless Network Administrator Official Deluxe Study Guide: Exam CWNA-106
    2015
    Co-Authors: David D. Coleman, David A. Westcott
    Abstract:

    Complete CWNA-106 prep, with full coverage and hands-on practice CWNA Certified Wireless Network Administrator Deluxe Study Guide is your official study guide for the leading wireless certification program. Updated for the new CWNA-106 exam, this book provides coverage of all exam objectives, plus review questions and hands-on exercises that help you build your skills and your confidence before exam day. Start with a pre-assessment test to find out how much you already know, then fill in the gaps with detailed coverage of radio frequency technology, regulations and standards, protocols and devices, Network implementation and security, RF site surveying, and much more. Sybex's interactive online learning environment and test bank gives you access to hundreds of questions and robust study tools, including chapter tests, practice exams, flashcards, a glossary of key terms, and bonus chapter material all to help you prepare for and increase your chances of passing the exam the first time around. * Find your starting point with a pre-assessment test * Get up to speed on all CWNA-106 exam objectives * Sharpen your practical skills with hands-on exercises * Test your knowledge with practice exam questions Savvy candidates know that strategic prep is essential to first-time success, and CWNA Certified Wireless Network Administrator Deluxe Study Guide is your toolbox for building the next step in your wireless career.

  • cwna certified wireless Network Administrator official study guide exam pw0 105
    2012
    Co-Authors: David D. Coleman, David A. Westcott
    Abstract:

    Updated edition of this top-selling CWNA study guideSybex is the official publisher for CWNP, Inc., the organization behind the the CWNA certification. The new edition of Sybex's top-selling CWNA Study Guide covers the latest CWNA Exam, PW0-105. If you're preparing for the exam, you'll find full coverage of radio frequency (RF) technologies, as well as IEEE 802.11 regulations and standards, protocols and devices, Network security, and much more. This detailed book not only covers all exam objectives, it also includes practical chapter review questions and hands-on exercises. The book's website offers additional practice exams and flashcards, demo software, and more.Prepares you for Exam PW0-105, the new CWNA exam administered by the Certified Wireless Network Professional, Inc.Covers all exam objectives, including radio frequency (RF) technologies and IEEE 802.11 regulations and standards, protocols and devices, Network implementation, Network security, and RF site surveyingIncludes practical examples and review questions to reinforce learningDiscusses the latest information on wireless trends, protocols, and standards--helpful whether you're preparing for the exam or notProvides additional practice exams, electronic flashcards, demo software, and more from the book's accompanying websiteCWNA certification is the foundation for any professional who uses wireless Networks--and a springboard to more advanced wireless certifications. Get started today with this detailed CWNA prep guide.Note: CD-ROM materials for eBook purchases can be downloaded from http://booksupport.wiley.com.

  • cwna certified wireless Network Administrator official study guide
    2006
    Co-Authors: David D. Coleman, David A. Westcott
    Abstract:

    Sybex is now the official publisher for CWNP, the certifying vendor for the CWNA program. This valuable guide covers all objectives for the newest version of the PW0-104 exam, including radio technologies; antenna concepts; wireless LAN hardware and software; Network design, installation and management; wireless standards and organizations; 802.11 Network architecture; wireless LAN security; performing site surveys; and troubleshooting. Also included are hands-on exercises, chapter review questions, a detailed glossary, and a pre-assessment test. The CD-ROM features two bonus exams, over 150 flashcards, and numerous White Papers and demo software.

  • cwna certified wireless Network Administrator tm study guide
    2006
    Co-Authors: David D. Coleman, David A. Westcott
    Abstract:

    Introduction. Assessment Test. Chapter 1: Overview of Wireless Standards and Organizations. Chapter 2: Radio Frequency Fundamentals. Chapter 3: Radio Frequency Components, Measurements, and Mathematics. Chapter 4: Radio Frequency Signal and Antenna Concepts. Chapter 5: IEEE 802.11 Standards. Chapter 6: Wireless Networks and Spread Spectrum Technologies. Chapter 7: Wireless LAN Topologies. Chapter 8: 802.11 Medium Access. Chapter 9: 802.11 MAC Architecture. Chapter 10: Wireless Devices. Chapter 11: Network Design, Implementation, and Management. Chapter 12: WLAN Troubleshooting. Chapter 13: 802.11 Network Security Architecture. Chapter 14: Wireless Attacks, Intrusion Monitoring, and Policy. Chapter 15: Radio Frequency Site Survey Fundamentals. Chapter 16: Site Survey Systems and Devices. Glossary. Index.

Wuqiong Luo - One of the best experts on this subject based on the ideXlab platform.

  • Infection Spreading and Source Identification: A Hide and Seek Game
    IEEE Transactions on Signal Processing, 2016
    Co-Authors: Wuqiong Luo, Wee Peng Tay, Mei Leng
    Abstract:

    The goal of an infection source node (e.g., a rumor or computer virus source) in a Network is to spread its infection to as many nodes as possible, while remaining hidden from the Network Administrator. On the other hand, the Network Administrator aims to identify the source node based on knowledge of which nodes have been infected. We model the infection spreading and source identification problem as a strategic game, where the infection source and the Network Administrator are the two players. As the Jordan center estimator is a minimax source estimator that has been shown to be robust in recent works, we assume that the Network Administrator utilizes a source estimation strategy that can probe any nodes within a given radius of the Jordan center. Given any estimation strategy, we design a best-response infection strategy for the source. Given any infection strategy, we design a best-response estimation strategy for the Network Administrator. We derive conditions under which a Nash equilibrium of the strategic game exists. Simulations in both synthetic and real-world Networks demonstrate that our proposed infection strategy infects more nodes while maintaining the same safety margin between the true source node and the Jordan center source estimator.

  • ASONAM - Rumor Spreading Maximization and Source Identification in a Social Network
    Proceedings of the 2015 IEEE ACM International Conference on Advances in Social Networks Analysis and Mining 2015, 2015
    Co-Authors: Wuqiong Luo, Wee Peng Tay, Mei Leng
    Abstract:

    The goal of a rumor source node in a social Network is to spread its rumor to as many nodes as possible, while remaining hidden from the Network Administrator. On the other hand, the Network Administrator aims to identify the source node based on knowledge of which nodes have accepted the rumor (which are called infected nodes). We model the rumor spreading and source identification problem as a strategic game, where the rumor source and the Network Administrator are the two players. As the Jordan center estimator is a minimax source estimator that has been shown to be robust in recent works, we assume that the Network Administrator utilizes a source estimation strategy that probes every node within a given radius of the Jordan center. Given any estimation strategy, we design a best-response infection strategy for the rumor source. Given any infection strategy, we design a best-response estimation strategy for the Network Administrator. We derive conditions under which the Nash equilibria of the strategic game exist. Simulations in both synthetic and real-world Networks demonstrate that our proposed infection strategy infects more nodes while maintaining the same safety margin between the true source node and the Jordan center source estimator.

  • Rumor Spreading and Source Identification: A Hide and Seek Game.
    arXiv: Social and Information Networks, 2015
    Co-Authors: Wuqiong Luo, Wee Peng Tay, Mei Leng
    Abstract:

    The goal of a rumor source node in a social Network is to spread its rumor to as many nodes as possible, while remaining hidden from the Network Administrator. On the other hand, the Network Administrator aims to identify the source node based on knowledge of which nodes have accepted the rumor (which are called infected nodes). We model the rumor spreading and source identification problem as a strategic game, where the rumor source and the Network Administrator are the two players. As the Jordan center estimator is a minimax source estimator that has been shown to be robust in recent works, we assume that the Network Administrator utilizes a source estimation strategy that probes every node within a given radius of the Jordan center. Given any estimation strategy, we design a best-response infection strategy for the rumor source. Given any infection strategy, we design a best-response estimation strategy for the Network Administrator. We derive conditions under which the Nash equilibria of the strategic game exist. Simulations in both synthetic and real-world Networks demonstrate that our proposed infection strategy infects more nodes while maintaining the same safety margin between the true source node and the Jordan center source estimator.